This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Barlett’s Formula for Non Linear Processes

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Christian Francq ; Jean-Michel Zakoïan (Crest)

Additional information is available for the following registered author(s):

Abstract

No abstract is available for this item.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.crest.fr/content/blogcategory/21/54/
File Format: application/pdf
File Function: Crest working paper version
Download Restriction: no

Publisher Info
Paper provided by Centre de Recherche en Economie et Statistique in its series Working Papers with number 2008-05.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Length: 18
Date of creation: May 2008
Date of revision: May 2008
Handle: RePEc:crs:wpaper:2008-05

Contact details of provider:
Postal: 15 Boulevard Gabriel Peri 92245 Malakoff Cedex
Phone: 01 41 17 60 81
Web page: http://www.crest.fr
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (André Saux).

Related research
Keywords: optimal matching;

Statistics
Access and download statistics

Did you know? The RePEc project started in 1997. Its precursor, NetEc, dates back to 1993.

This page was last updated on 2009-11-25.

This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.